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Immune Traits (immune + trait)
Selected AbstractsAcross-line SNP association study of innate and adaptive immune response in laying hensANIMAL GENETICS, Issue 1 2010F. Biscarini Summary The aim of the present study was to detect quantitative trait loci (QTL) for innate and adaptive immunity in laying hens. For this purpose, the associations between 1022 single nucleotide polymorphism (SNP) markers and immune traits were studied in 583 hens from nine different layer lines. Immune traits were natural antibodies for keyhole limpet haemocyanin (KLH) and lipopolysaccharide (LPS) at 20, 40 and 65 weeks, acquired antibodies to the vaccinal virus of Newcastle disease at 20 weeks, and complement activity measured on sheep and bovine red blood cells at 20, 40 and 65 weeks. We adopted a novel approach based on across-line analysis and testing of the SNP-by-line interaction. Among lines, linkage disequilibrium is conserved at shorter distances than in individual lines; therefore, SNPs significantly associated with immune traits across lines are expected to be near the functional mutations. In the analysis, the SNPs that had a significant across-line effect but did not show significant SNP-by-line interaction were identified to test whether the association was consistent in the individual lines. Ultimately, 59 significant associations between SNPs and immune traits were detected. Our results confirmed some previously identified QTL and identified new QTL potentially involved in the immune function. We found evidence for a role of IL17A (chromosome 3) in natural and acquired antibody titres and in the classical and alternative pathways of complement activation. The major histocompatibility genes on chromosome 16 showed significant association with natural and acquired antibody titres and classical complement activity. The IL12B gene on chromosome 13 was associated with natural antibody titres. [source] Predators and cannibals modulate sex-specific plasticity in life-history and immune traitsFUNCTIONAL ECOLOGY, Issue 1 2008D. J. Mikolajewski Summary 1In organisms with complex life cycles, optimality models predict age and size at transition to translate larval condition into adult fitness. Recent studies, however, revealed that only a proportion of fitness is explained by age and size at transition. Moreover, sexes differ in the linkage of larval condition and adult fitness. 2In this study, we tested the hypothesis that immune traits may be partly decoupled from age and size at habitat transition and therefore contribute to the sex-specific linkage of larval condition and adult fitness. 3We reared larvae of the damselfly Coenagrion puella under the threat of predators and cannibals. We then examined sex-specific patterns in two life-history traits as well as two immune traits and tested for independency of the plastic responses among life-history and immune traits. 4Results revealed immune traits to be partly decoupled from life-history traits. Moreover, the sexes differed in the plasticity of life-history as well as immune traits. Our results give strong evidence that sex-specific translation of larval condition into adult fitness may be linked to immune traits as well as age and size at transition. [source] QTL for traits related to humoral immune response estimated from data of a porcine F2 resource populationINTERNATIONAL JOURNAL OF IMMUNOGENETICS, Issue 3 2009K. Wimmers Summary This study aimed to map quantitative trait loci (QTL) for traits related to humoral innate immune defence. Therefore, haemolytic complement activity in the alternative and the classical pathway, serum concentration of C3c and of haptoglobin (HP) were measured in blood samples obtained from F2 piglets (n = 457) of a porcine F2 resource population before and after Mycoplasma hyopneumoniae, Aujeszky's disease virus (Suid herpesvirus I, SuHVI) and porcine reproductive and respiratory syndrome virus (PRRSV) vaccination at 6, 14 and 16 weeks of age. Animals were genotyped at 88 autosomal markers. QTL analysis was performed under the line cross and the half sib. Phenotypic data were adjusted for systematic effects by mixed models with and without repeated measures statement. In total, 46 and 21 estimated QTL positions were detected with genome-wide significance at the 0.05 and 0.01 level, respectively. The proximal region of SSC2 (orthologous to HSA11 0,70 Mb), the distal region of SSC4 (HSA1 95,155 Mb), and the intermediate region of SSC16 (HSA5 0,73 Mb and 150,174 Mb) showed a clustering of estimated QTL positions for complement activity based on the different models. A common genetic background, i.e. a single true QTL, might underlie these QTL positions for related traits. In addition, QTL for antibody titres were detected on SSC1, 2, 6 and 7. With regard to number and magnitude of their impact, QTL for humoral innate immune traits behave like those for other quantitative traits. Discovery of such QTL facilitates the identification of candidate genes for disease resistance and immune competence that are applicable in selective breeding and further research towards improving therapeutic and prophylactic measures. [source] Costs of resistance: genetic correlations and potential trade-offs in an insect immune SystemJOURNAL OF EVOLUTIONARY BIOLOGY, Issue 2 2004S. C. Cotter Abstract Theory predicts that natural selection will erode additive genetic variation in fitness-related traits. However, numerous studies have found considerable heritable variation in traits related to immune function, which should be closely linked to fitness. This could be due to trade-offs maintaining variation in these traits. We used the Egyptian cotton leafworm, Spodoptera littoralis, as a model system to examine the quantitative genetics of insect immune function. We estimated the heritabilities of several different measures of innate immunity and the genetic correlations between these immune traits and a number of life history traits. Our results provide the first evidence for a potential genetic trade-off within the insect immune system, with antibacterial activity (lysozyme-like) exhibiting a significant negative genetic correlation with haemocyte density, which itself is positively genetically correlated with both haemolymph phenoloxidase activity and cuticular melanization. We speculate on a potential trade-off between defence against parasites and predators, mediated by larval colour, and its role in maintaining genetic variation in traits under natural selection. [source] Across-line SNP association study of innate and adaptive immune response in laying hensANIMAL GENETICS, Issue 1 2010F. Biscarini Summary The aim of the present study was to detect quantitative trait loci (QTL) for innate and adaptive immunity in laying hens. For this purpose, the associations between 1022 single nucleotide polymorphism (SNP) markers and immune traits were studied in 583 hens from nine different layer lines. Immune traits were natural antibodies for keyhole limpet haemocyanin (KLH) and lipopolysaccharide (LPS) at 20, 40 and 65 weeks, acquired antibodies to the vaccinal virus of Newcastle disease at 20 weeks, and complement activity measured on sheep and bovine red blood cells at 20, 40 and 65 weeks. We adopted a novel approach based on across-line analysis and testing of the SNP-by-line interaction. Among lines, linkage disequilibrium is conserved at shorter distances than in individual lines; therefore, SNPs significantly associated with immune traits across lines are expected to be near the functional mutations. In the analysis, the SNPs that had a significant across-line effect but did not show significant SNP-by-line interaction were identified to test whether the association was consistent in the individual lines. Ultimately, 59 significant associations between SNPs and immune traits were detected. Our results confirmed some previously identified QTL and identified new QTL potentially involved in the immune function. We found evidence for a role of IL17A (chromosome 3) in natural and acquired antibody titres and in the classical and alternative pathways of complement activation. The major histocompatibility genes on chromosome 16 showed significant association with natural and acquired antibody titres and classical complement activity. The IL12B gene on chromosome 13 was associated with natural antibody titres. [source] Toll-like receptor 4 genetic diversity among pig populationsANIMAL GENETICS, Issue 3 2009S. Palermo Summary The transmembrane glycoprotein encoded by the Toll-like receptor 4 gene (TLR4) acts as the transducing subunit of the lipopolysaccharide receptor complex of mammals, which is a major sensor of infections by Gram-negative bacteria. As variation in TLR4 may alter host immune response to lipopolysaccharide, the association between TLR4 polymorphisms and immune traits of the respiratory and gut systems has important implications for livestock. Here, a sequence dataset from 259 animals belonging to commercial and traditional European pig populations, consisting of 4305 bp of TLR4, including the full transcribed region, a portion of intron 2 and the putative promoter region, was used to explore genetic variation segregating at the TLR4 locus. We identified 34 single nucleotide polymorphisms, 17 in the coding sequence and 17 in the non-coding region. Five non-synonymous mutations clustered within, or in close proximity to, the hypervariable domain of exon 3. In agreement with studies in other mammals, a major exon 3 haplotype segregated at high frequency in the whole sample of 259 pigs, while variants carrying non-synonymous substitutions showed frequencies ranging between 0.6% and 8.7%. Although results on exon 3 provided suggestive evidence for purifying selection occurring at the porcine TLR4 gene, the analysis of both coding and non-coding regions highlighted the fact that demographic factors strongly influence the tests of departure from neutrality. The phylogenetic analysis of TLR4 identified three clusters of variation (ancestral, Asian, European), supporting the evidence of Asian introgression in European main breeds and the well documented history of pig breed domestication previously identified by mtDNA analysis. [source] | ||||||||||